State-space hierarchical models for predator-prey relationships and abundance estimates [résumé] - fdi:010072111 - Horizon

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Babou D.A., Braham C.B., Bez Nicolas. (2017). State-space hierarchical models for predator-prey relationships and abundance estimates [résumé]. In : Brehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.) International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters. Dakar : SRFC/CSRP ; IRD, 42. ICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15. ISBN 978-2-9553602-0-5

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Titre
State-space hierarchical models for predator-prey relationships and abundance estimates [résumé]
Année de publication2017
Type de documentColloque
AuteursBabou D.A., Braham C.B., Bez Nicolas.
InBrehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.) International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters
SourceDakar : SRFC/CSRP ; IRD, 2017, p. 42. p. 42 ISBN 978-2-9553602-0-5
ColloqueICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15
RésuméScientific monitoring of fishery resources is difficult or, in some cases, impossible or too costly. When completed, they provide only one (or two) biomass estimate per year. The development of approaches based on interpreting vessel behavior to infer prey abundance would provide a reliable alternative to provide in-real-time indices of abundance and better describe activity and identify the effort to which the resources are subject. This poster aims to present the development of Markovian and semi-Markovian hierarchical models in state space by using VMS (Vessel Monitoring System) data. Once trajectories are interpreted, they can be used to fine-tune the activities carried out by ships during their tides and to validate these estimates by observing data. The domains of application of these models range from the determination of abundance indices to the mapping of prey distributions (target species). The 5-state model (fishing, day-trip, night-time and night-road), developed here, allows for night data ignored by other two- or three-state models. Thus, the total effort becomes quantifiable.
Plan de classementRessources halieutiques [040] ; Sciences du milieu [021]
Descr. géo.SENEGAL ; ATLANTIQUE
LocalisationFonds IRD [F A010071832]
Identifiant IRDfdi:010072111
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010072111

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